FME Form Beginner
Form Basics
FME Beginner DetailsTerms and ConditionsForm BasicsData TransformationTransformer UsageBest Practice
Form Basics
FME Beginner DetailsTerms and ConditionsForm BasicsData TransformationTransformer UsageBest Practice
  • FME Form Basics
  • Data Translation
    • What is FME?
    • How FME Works
    • Data Integration Platform
    • Form Basics - Exercise 1
  • FME Form
    • Introduction to FME Workbench
    • Creating a Translation
    • The New Workspace
    • Saving a Workspace
    • Running a Workspace
    • Form Basics - Exercise 2
  • Data Inspection
    • FME Data Inspector
    • Viewing Data
    • Inspecting Data
    • Form Basics - Exercise 3
    • Data Inspector Display Control
    • Feature Caching
    • Inspecting Cached Data
    • Partial Runs
    • Visual Preview
    • Form Basics - Exercise 4
  • Form Basics - Module Review
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Data Inspection

To ensure that you're dealing with the right information you need a clear view of your data at every stage of the transformation process.

Data inspection meets this need: it is the act of viewing data for verification and debugging purposes, before, during, or after a translation.

In FME Form, you can use two data inspection tools: in Workbench via the Visual Preview window, or in a complementary application called the FME Data Inspector. In this course we will discuss both, but will primarily use Visual Preview.

FME data inspection tools let you view data in any supported format. They are used primarily to preview data before translation or to verify it after translation. You can use them to set up and debug workspaces by inspecting data during the translation.

FME data inspection tools are not designed to be full-featured spreadsheet, database, or mapping applications. They have no analysis or editing functionality, and the tools for symbology modification or printing are intended for data validation rather than producing output.

What Can Be Inspected?

A number of different aspects of data may be inspected, including the following:

  • Format: Is the data in the expected format?

  • Schema: Is the data subdivided into the correct layers, categories, or classes?

  • Spatial: Is the data spatial and does it have the correct geometry?

  • Symbology: Is the colour, size, and style of each spatial feature correct?

  • Attributes: Are all the required attributes present? Are all integrity rules being followed?

  • Quantity: Does the data contain the correct number of features?

  • Output: Has the translation process restructured the data as expected?

TIP

Inspecting your data before, during, and after building your workspace ensures you are working with the correct data and lets you spot data quality problems early on.

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Last updated 2 months ago